Computational Proteomics Analysis System (CPAS): An extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments

被引：158

作者：

Rauch, A

Bellew, M

Eng, J

Fitzgibbon, M

Holzman, T

Hussey, P

Igra, M

Maclean, B

Lin, CW

Detter, A

Fang, RH

Faca, V

Gafken, P

Zhang, HD

Whitaker, J

States, D

Hanash, S

Paulovich, A

McIntosh, MW

机构：

[1] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA

[2] LabKey Software, Seattle, WA USA

[3] Univ Michigan, Ann Arbor, MI 48109 USA

来源：

JOURNAL OF PROTEOME RESEARCH | 2006年 / 5卷 / 01期

关键词：

X! Tandem; FuGE; mzXML; pepXML; adenocarcinoma; proteomics;

D O I：

10.1021/pr0503533

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The open-source Computational Proteomics Analysis System (CPAS) contains an entire data analysis and management pipeline for Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) proteomics, including experiment annotation, protein database searching and sequence management, and mining LC-MS/MS peptide and protein identifications. CPAS architecture and features, such as a general experiment annotation component, installation software, and data security management, make it useful for collaborative projects across geographical locations and for proteomics laboratories without substantial computational support.

引用

页码：112 / 121

页数：10

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